FICO
Analytic Consultant
Work from Home, United States
Sponsorship not specified$88k-$121kDetected 30 days ago
PythonJavaC++MATLABAWSGCPAzureMachine LearningData AnalysisStatisticsResearchCollaborationPublic Speaking
About the role
- Apply statistical modeling, machine learning, pattern recognition, and performance inference techniques to identify effective modeling approaches and improve model performance.
Responsibilities
- Design, develop, and evaluate state-of-the-art, data-driven exploratory analyses, predictive models, and decision models to solve business problems across the financial services industry.
- Analyze large-scale consumer credit and credit bureau datasets to assess modeling suitability, identify data patterns, develop variables, and support scoring solutions.
- Create, review, and deliver formal presentations of analytical work, clearly communicating modeling results, key insights, and recommendations to internal stakeholders and clients.
- Manage assigned analytical work streams across simultaneous projects, adjusting to changing priorities while consistently delivering high-quality work against client and internal deadlines.
- At FICO, you can develop your career with a leading organization in one of the fastest-growing fields in technology today - Big Data analytics.
Requirements
- Ability to work both collaboratively and independently in cross-functional and client-facing environments.
Nice to have
- Contribute to international FICO Scores projects through client data analysis, model development, model validation, and delivery activities.
- Anticipate, investigate, and resolve data, modeling, and analytical issues by identifying root causes and recommending practical solutions.
- Communicate effectively with project teams and client stakeholders, including sharing progress, raising questions or risks early, and participating in meetings across international time zones.
- Travel may be required occasionally for client meetings or project needs, including domestic or international engagements.
- Master's degree in Applied Mathematics, Economics, Statistics, Operations Research, Computer Science, Engineering, Physics, Cognitive Science, or a related quantitative, technical, or natural science discipline.
- Relevant experience in financial services, fintech, insurance, consumer lending, or credit bureau environments
- familiarity with consumer credit risk, fraud risk, credit bureau data, or lending decisioning preferred.
- Strong programming and data analysis skills using languages or tools such as Python, R, C++, Java, MATLAB, or similar, with the ability to prepare, manipulate, analyze, and model large datasets.
Compensation
- $88,000 to $121,000 with this range reflecting differences in candidate knowledge, skills and experience.
Benefits
- The opportunity to make an impact and develop professionally by leveraging your unique strengths and participating in valuable learning experiences.
- You'll play a part in our commitment to help businesses use data to improve every choice they make, using advances in artificial intelligence, machine learning, optimization, and much more.
Company info
- Highly competitive compensation, benefits and rewards programs that encourage you to bring your best every day and be recognized for doing so.
- An engaging, people-first work environment offering work/life balance, employee resource groups, and social events to promote interaction and camaraderie.
- An inclusive culture strongly reflecting our core values: Act Like an Owner, Delight Our Customers and Earn the Respect of Others.
Visa & Work Authorization
- candidates without regard to race, color, ancestry, religion, sex, national origin, pregnancy, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status
This listing is sourced directly from FICO's careers page and normalized into a canonical job model.